data-analysis

Pass

Audited by Gen Agent Trust Hub on May 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements routine data analysis procedures for social science research, focusing on regression modeling, exploratory data analysis, and publication-ready output generation without any malicious patterns detected.
  • [SAFE]: File system operations are constrained to project-relative paths (specifically the data/, output/, and scripts/ directories) using the Python pathlib module, which prevents unauthorized access to sensitive system files.
  • [SAFE]: The identified Python dependencies—including pandas, numpy, pyfixest, plotnine, rdrobust, and linearmodels—are established, widely-used, and legitimate libraries within the scientific computing community.
  • [SAFE]: The skill does not involve any network operations, external downloads, or dynamic code execution from untrusted sources. Its use of pickle.dump is restricted to local serialization of regression results, which is a standard practice.
Audit Metadata
Risk Level
SAFE
Analyzed
May 17, 2026, 06:16 PM